6 Real-World Applications .

You need to know Python (Machine Learning A-Z level is enough) in order to complete this course.

You need to know how to set up your working environment (Anaconda, Jupyter Notebook, Spyder)

This should not be your first Machine Learning course. You need to understand main concepts.

Description

So you know the theory of Machine Learning and know how to create your first algorithms. Now what?

There are tons of courses out there about the underlying theory of Machine Learning which don’t go any deeper – into the applications.

This course is not one of them.

Are you ready to apply all of the theory and knowledge to real life Machine Learning challenges?

Then welcome to “Machine Learning Practical”.

We gathered best industry professionals with tons of completed projects behind.

Each presenter has a unique style, which is determined by his experience, and like in a real world, you will need adjust to it if you want successfully complete this course. We will leave no one behind!

This course will demystify how real Data Science project looks like. Time to move away from these polished examples which are only introducing you to the matter, but not giving any real experience.

If you are still dreaming where to learn Machine Learning through practice, where to take real-life projects for your CV, how to not look like a noob in the recruiter’s eyes, then you came to the right place!

This course provides a hands-on approach to real-life challenges and covers exactly what you need to succeed in the real world of Data Science.